MTS, AI Engineering, SMAI
Taichung - AATT, Taiwan
TWD 140K-500K (estimate) Senior-level Full Time
Tasks
- Analyze and profile workloads to identify compute memory and latency bottlenecks
- Architect and execute large scale custom model training and fine tuning jobs
- Collaborate with hardware architects to define next generation GPU features
- Design and develop autonomous AI agents for tool execution
- Design and implement performance regression testing suites
- Mentor junior engineers on parallel programming and optimization techniques
- Optimize training throughput and memory efficiency with distributed training
- Write and optimize high performance GPU kernels with CUDA or HIP
Perks/Benefits
- N/A
Skills/Tech-stack
Autogen | Automl | BF16 | CI/CD | CUDA | CUDA programming | Chain-of-Thought | Data-parallel | DeepSpeed | Distributed Data Parallel | Distributed Training | Distributed data | Docker | FP16 | FSDP | Function Calling | GPU Architecture | Git | HIP | HPC schedulers | Jenkins | Kubernetes | LLM Inference | Langchain | Langgraph | Llamaindex | LoRA | Megatron-LM | Mixed Precision | Model Parallelism | NVLink | PEFT | PTX | Prompt engineering | PyTorch | QLoRA | Ray | SASS | Scikit-learn | Slurm | TensorFlow | TensorRT-LLM | Tool use | Triton | VLLM
Education
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